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Authors: David Kaye and Ioannis Ivrissimtzis

Affiliation: Durham University, United Kingdom

ISBN: 978-989-758-087-1

Keyword(s): Mesh Alignment, Principal Component Analysis, Grid Based Methods.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Fundamental Methods and Algorithms ; Geometric Computing ; Geometry and Modeling ; Modeling and Algorithms ; Scene and Object Modeling

Abstract: We present an algorithm for mesh alignment by performing Principal Components Analysis (PCA) on a set of nodes of a regular 3D grid. The use of a 3D lattice external to both inputs increases the robustness of PCA, particularly when dealing with meshes of different and possibly uneven vertex density. The proposed algorithm was tested on meshes that have undergone standard mesh processing operations such as smoothing, simplification and remeshing. In several cases the results indicate an improved robustness compared to performing PCA directly on mesh vertices.

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Paper citation in several formats:
Kaye, D. and Ivrissimtzis, I. (2015). Mesh Alignment using Grid based PCA.In Proceedings of the 10th International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2015) ISBN 978-989-758-087-1, pages 174-181. DOI: 10.5220/0005313801740181

@conference{grapp15,
author={David Kaye. and Ioannis Ivrissimtzis.},
title={Mesh Alignment using Grid based PCA},
booktitle={Proceedings of the 10th International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2015)},
year={2015},
pages={174-181},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005313801740181},
isbn={978-989-758-087-1},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2015)
TI - Mesh Alignment using Grid based PCA
SN - 978-989-758-087-1
AU - Kaye, D.
AU - Ivrissimtzis, I.
PY - 2015
SP - 174
EP - 181
DO - 10.5220/0005313801740181

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